Qualitative part-based models in content-based image retrieval
Machine Vision and Applications
Enhancing Boundary Primitives Using a Multiscale Quadtree Segmentation
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Enhancing contour primitives by pairwise grouping and relaxation
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, a search tree is expanded by selecting and ordering the segmented primitives on the basis of generic local and global grouping criteria. The set of partial contours provided by the parallel search are combined into more complex forms. Global scores produce a sorted list of potential object silhouettes.